Nahum-Shani, PhD, MA, research focuses on conceptual and methodological issues related to constructing adaptive interventions, which are designed to deliver support (i.e., prevention interventions, treatments, implementation strategies) in a way that addresses the unique and changing needs of individuals, dyads, groups or organizations. She has recently pioneered the hybrid experimental design (HED), which enables investigators to empirically optimize the blending and adaptation of human-delivered support and digital support. She leads the Data-science for Dynamic Intervention Decision-making Center (d3c) at the University of Michigan which serves as a vibrant environment for developing and disseminating methodologies for adapting and personalizing interventions.